scholarly journals ANALISIS RESPON PENAWARAN KOMODITI KEDELAI DI KABUPATEN TANJAB TIMUR

2020 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Edison
Keyword(s):  
Policy Implications ◽  
Response Model ◽  
Significant Determinant ◽  
Exogenous Variables ◽  
Soybean Production ◽  
Input Demand ◽  
Soybean Plants ◽  
Input Variables ◽  
Internal And External Factors ◽  
Input Prices

This study aims (1) to assess the factors of production and their effects on soybean production, and to investigate the ability of input levels, such as area and others to explain the response of production; and (2). assess the response of farmer supply to input prices, receipt of gross expectations, from related variables, and other exogenous variables. This research was conducted in 2017 in East Tanjab Regency. The method of analysis in its application is sorted based on the research objectives namely the Empirical Model of the Response Response Function. From the research, the results obtained from the soybean supply response model are strongly influenced by many factors. Among internal and external factors such as soybean prices, use of inputs, and seasons, which are quite relevant where soybean production increases because soybean prices increase. It also added that soybean production decreases when the input variables used are not in accordance with the provisions. As expected it was also found that the harvested area was also a significant determinant of crops. Furthermore it was found that soybean production increased during the rainy season. This finding is consistent with the fact that water availability is an important factor for soybean plants. The analysis also explained that soybean farmers in tidal land in the study area responded to the change in the use of efficient inputs. Supply of output is a response to soybean production. On input requests, many are sensitive to the use of labor, maintenance / harvesting labor. The elasticity of production obtained complements the part of the data base needed to evaluate the policy implications of using alternative inputs from soybean supply and input demand. Keywords: soybean, production, function

scholarly journals PENDUGAAN ELASTISITAS PENAWARAN OUTPUT DAN PERMINTAAN INPUT USAHATANI JAGUNG

2012 ◽  
Vol 13 (2) ◽  
pp. 247
Author(s):  
Adang Agustian ◽  
Sri Hartoyo
Keyword(s):  
Seemingly Unrelated Regression ◽  
Policy Implications ◽  
Estimation Model ◽  
West Java ◽  
Price Changes ◽  
Road Infrastructure ◽  
Input Demand ◽  
Unrelated Regression ◽  
Research Expenditures ◽  
Input Prices

This study aims to determine the effect of changes in output and input prices, corn research expenditures and road infrastructure on output supply and input demand for corn in the Province of East Java and West Java. The data that are analyzed are those of structure of costs of corn farming in the Province of East Java and West Java in 1985-2009. Estimation model employed is the method of Seemingly Unrelated Regression. The results showed that the output supply of corn both in the province of East Java and West Java are elastic to its price changes, however it is inelastic to the price changes of: seed, urea, TSP and labor. Input demand of seed, urea, TSP and labor area inelastic to their price changes. Policy implications of this research is efforts to increase the supply of corn can be carried out by increasing its price, expenditures of corn research, and road infrastructure.

scholarly journals Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1770
Author(s):  
Javier González-Enrique ◽  
Juan Jesús Ruiz-Aguilar ◽  
José Antonio Moscoso-López ◽  
Daniel Urda ◽  
Lipika Deka ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Short Term Memory ◽  
Prediction Method ◽  
Monitoring Network ◽  
Exogenous Variables ◽  
Prediction Horizon ◽  
Artificial Neural ◽  
Input Variables ◽  
Analytical Tools

This study aims to produce accurate predictions of the NO2 concentrations at a specific station of a monitoring network located in the Bay of Algeciras (Spain). Artificial neural networks (ANNs) and sequence-to-sequence long short-term memory networks (LSTMs) were used to create the forecasting models. Additionally, a new prediction method was proposed combining LSTMs using a rolling window scheme with a cross-validation procedure for time series (LSTM-CVT). Two different strategies were followed regarding the input variables: using NO2 from the station or employing NO2 and other pollutants data from any station of the network plus meteorological variables. The ANN and LSTM-CVT exogenous models used lagged datasets of different window sizes. Several feature ranking methods were used to select the top lagged variables and include them in the final exogenous datasets. Prediction horizons of t + 1, t + 4 and t + 8 were employed. The exogenous variables inclusion enhanced the model’s performance, especially for t + 4 (ρ ≈ 0.68 to ρ ≈ 0.74) and t + 8 (ρ ≈ 0.59 to ρ ≈ 0.66). The proposed LSTM-CVT method delivered promising results as the best performing models per prediction horizon employed this new methodology. Additionally, per each parameter combination, it obtained lower error values than ANNs in 85% of the cases.

scholarly journals Adhesion of uredospores of Phakopsora pachyrhizi on soybean seeds and their viability during storage

2012 ◽  
Vol 34 (2) ◽  
pp. 225-230
Author(s):  
Elisandra Batista Zambenedetti Magnani ◽  
Elisabeth Aparecida Furtado de Mendonça ◽  
Maria Cristina de Figueiredo e Albuquerque
Keyword(s):  
Soybean Seed ◽  
Germination Percentage ◽  
Time Span ◽  
Soybean Seeds ◽  
Phakopsora Pachyrhizi ◽  
Mato Grosso ◽  
Soybean Production ◽  
Soybean Plants ◽  
Production Areas

To study adhesion and viability of uredospores of the fungus Phakopsora pachyrhizi on soybean seeds during storage, suspension tests of those uredospores were carried out by washing seeds at each 30 days interval. Furthermore, germination and inoculation tests of uredospores on soybean plants were performed with uredospores collected from seeds of two soybean production areas, located in the municipalities "Chapada dos Guimarães" and "Tangará da Serra", State of Mato Grosso, Brazil. High levels of uredospores infestation were detected before storage [249.31 and 85.18 uredospores/100 seeds (U/100)] on seeds collected in both localities, respectively. After 30 days storage, these figures were 46.12 and 122.5 U/100; at 60 days were 14.62 and 26.62 U/100; and at 90 days were only 2.87 and 3,68 U/100, respectively; dropping to zero after 120 days storage. The percentage of germinated uredospores decreased with increasing storage periods and at 120 days germination percentage was nil. When uredospores were inoculated on soybean plants, rust symptoms were only observed for uredospores collected from freshly harvested seeds. Uredospores associated to soybean seed germinate until 90 days after storage, but are not viable after this time span. Infection of plants only occurs with inoculation of uredospores obtained from freshly harvested seeds.

scholarly journals Mahameru Soybean (Glycine max) Cultivar, High Salinity Tolerant

2018 ◽  
Vol 10 (1) ◽  
pp. 23-31
Author(s):  
Juwarno Juwarno ◽  
Tata Brata Suparjana ◽  
Muachiroh Abbas
Keyword(s):  
Chlorophyll A ◽  
Salinity Stress ◽  
High Salinity ◽  
Dry Weight ◽  
Salinity Treatment ◽  
Soybean Production ◽  
Anatomy And Physiology ◽  
Salinity Levels ◽  
Chlorophyll A And B ◽  
Soybean Plants

Mahameru cultivar is high salinity tolerant cultivar. The previous study result showed Mahameru cultivar could tolerate 140mM NaCl, but Cilacap Coast salinity levels often reaching 200mM NaCl. A research of salinity stress on Mahameru cultivar at 200 mM NaCl have not conducted yet. Therefore to conduct the research of Mahameru at high salinity stress to obtained high salinity tolerant soybean cultivar.   The observed variables are anatomy (epidermis thickness, the density of stomata and trichomes, palisade thickness) physiology (the dry weight of roots and canopy, the content of chlorophyll a and b) Production (whole pod, total filled pod, total empty pod, weight per one-hundred beans). The salinity treatment was 0, 50,100, 150, 200 mM NaCl given at three days before planting and twenty-one days after planting. The data of anatomy and physiology was taken at forty-five days after planting. The production data was taken when soybean plants turned brown. The result indicates that salinity affects anatomy characteristic of leaf, higher the salinity increasing epidermis thickness and the density of stomata and trichomes. Salinity affected the content of chlorophyll a and b. Higher the salinity increased the content of chlorophyll a and b. Salinity did not affect soybean production. Based on this study Mahameru cultivar is resistant to salinity up to 200 mM NaCl. The benefit of this research help to enhance national soybean production with utilization coastal land for soybean planting Mahameru cultivar.         

scholarly journals Aplikasi Jenis Pupuk organik terhadap Kadar Hara NPK dan Produksi Kedelai (Glycine max (L.) Merril) pada Jarak Tanam yang Berbeda di Lahan Pasang Surut

2019 ◽  
Vol 8 (2) ◽  
pp. 148-158
Author(s):  
Neni Marlina ◽  
Iin Siti Aminah ◽  
Nurbaiti Amir ◽  
Rosmiah Rosmiah
Keyword(s):  
Glycine Max ◽  
Soil Fertility ◽  
Organic Fertilizer ◽  
Organic Fertilizers ◽  
Chicken Manure ◽  
Cow Manure ◽  
Plant Spacing ◽  
Soybean Production ◽  
Glycine Max L ◽  
Soybean Plants

Marlina N, Aminah IS, Amir N, Rosmiah R. 2019. Application of organic fertilizer types to NPK nutrients levels and soybeans production (Glycine max (L.) Merril) at different planting spaces in tidal land. Jurnal Lahan Suboptimal: Journal of Suboptimal Lands. 8(2):148-158.  Tidal lowlands flood type C is suboptimal land and very potential in cultivating soybean, but it has problems in soil fertility, macro and micro nutrient poor, therefore to increase soil fertility can be given various types of organic fertilizers, including cow manure organic fertilizer, chicken manure organic fertilizer and biofertilizer. All types of organic fertilizers are composted, and specifically biofertilizers are made with their own formula. It is expected that the organic fertilizer provided can increase soil fertility and nutrient availability for soybean plants. This study aimed to get the best type of organic fertilizer on the availability of nutrient levels of NPK and soybean production at different spacing in tidal land.  This research was conducted in Jaya Agung Village, Lalan District, Musi Banyuasin Regency, South Sumatra Province, and was carried out in March 2018 - June 2018. The method used was the experimental method. The design used is a split-plot design. with 9 treatment combinations and repeated 3 times. As the main plot treatment is plant spacing (20 cm x 20 cm, 20 cm x 30 cm and 20 cm x 40 cm), and treatment of subplots are: types of cow manure organic fertilizers  10 ton/ha, chicken manure organic fertilizer 10 ton/ha, and biofertilizer 400 kg/ha. The results showed that the combination treatment of plant spacing of 20 cm x 30 cm with the type of biofertilizer 400 kg/ha could  increase   soybean production by 9.11 g/plot or equivalent to 2.43 ton/ha.

scholarly journals THE EFFECT OF ANXIETY, CONFIDENCE, AND MOTIVATION ON THE PERFORMANCE OF NATIONAL VOLLEYBALL REFEREE PROVINCE OF NORTH SUMATRA

2021 ◽  
Vol 12 (05) ◽  
pp. 403-411
Author(s):  
Arie Favian Syahmar Marpaung ◽  
Sudradjat Wiradihardja ◽  
Kurnia Tahki
Keyword(s):  
Significant Influence ◽  
Sampling Method ◽  
Sampling Technique ◽  
Exogenous Variables ◽  
Self Confidence ◽  
Significant Difference ◽  
Endogenous Variables ◽  
Data Collection Technique ◽  
Internal And External Factors ◽  
North Sumatra

This study aims to determine whether there is a significant effect between the exogenous variables of anxiety, confidence, and motivation with the endogenous variables of the performance of referees on duty in North Sumatra Province. The population in this study is the National Referee of North Sumatra Province. The sampling technique used was the purposive sampling method in which the national referees selected were adjusted to the criteria determined by the researchers as many as 50 national referees from various levels. The research method used is the descriptive quantitative method. The results of the data analysis carried out showed that 1) There was a significant influence between anxiety on the referee's performance of 0.854 or 73.7%, 2) There was a significant influence between self-confidence on the referee's performance of 0.842 or 70.9%, 3) There was a significant effect of a significant difference between motivation on the performance of the referee is 0.744 or 55.3%, 4) There is a significant effect between anxiety on the motivation of 0.841 or 70.8%, 5) There is a significant influence between self-confidence and motivation of 0.851 or 72.5 %, 6) There is a significant effect between anxiety through motivation on referee performance by 0.744 or 55.3%, 7) There is a significant effect between self-confidence through motivation on referee performance by 0.879 or 77.3%. The data collection technique in this study used a questionnaire instrument method in the form of statements on a Likert scale that had been validated by experts. So it can be concluded that several internal and external factors can affect the performance of the referee in leading the match such as anxiety, confidence, and motivation. Suggestions for the referee to be able to optimize the psychological condition before leading the game, to maximize the task of leading the match.

Identifying Variable Effects on the Dimensional Quality of Compliant Assembly, Using Computer Experiments

2002 ◽  
Author(s):  
Stefan Dahlstro¨m ◽  
S. Jack Hu ◽  
Rikard So¨derberg
Keyword(s):  
Sheet Metal ◽  
Computer Experiments ◽  
Tolerance Analysis ◽  
Response Model ◽  
Element Analysis ◽  
Design Of Computer Experiments ◽  
Compliant Assembly ◽  
Aesthetic Form ◽  
Input Variables

Compliant sheet metal assemblies are often used as support structures in automobiles, airplanes and appliances. These structures not only provide a metrology frame for other modules to be assembled, but also give the product its aesthetic form. For this reason, the dimension quality of the assemblies is a very important factor to control, in order to make sure that the product will function as planned and continuously keep the product cost low. The assembly is influenced by variations in the component parts and the assembly processes. Tolerance analysis, as conducted in most industries today, is normally based on the assumption of rigid parts and is thus not always valid for sheet metal assemblies, due to their compliance. This paper will present a method, based on finite element analysis (FEA) and design of computer experiments, of identifying the influence of input variables on the final geometry variation of the assembly. The influence and the interactions among the input variables are analyzed with a response model that has been constructed, using the simulation results. This response model could be used to identify the important variables that need to be controlled in assembly. An example application is included, in order to demonstrate the simulation model and response model construction. Analysis of the results from the simulations can facilitate the design of the assembly process, in order to control the dimensional quality of the product.

scholarly journals PENGARUH MEDIA DENGAN KRITERIA SALINITAS TANAH SALIN DAN NON SALIN TERHADAP EFEKTIVITAS DAN INFEKTIVITAS ISOLAT BAKTERI Rhizobium sp TOLERAN SALINITAS PADA TANAMAN KEDELAI (Glycine max L. Merril)

2020 ◽  
Vol 8 (1) ◽  
pp. 281-292
Author(s):  
Clara Emanuela Prasetyani ◽  
Yulia Nuraini ◽  
Didik Sucahyono
Keyword(s):  
Plant Growth ◽  
Saline Soil ◽  
Root Nodules ◽  
Block Design ◽  
Biological Properties ◽  
Control Treatment ◽  
Soybean Production ◽  
Soybean Plants ◽  
Inoculation Treatment ◽  
Rhizobium Sp

Demand for the consumption of soybeans in 2014 was very high amounting to 10.91 kg capita-1 year-1 while soybean production was only 955 thousand tons. Soybean production can be increased by expanding the planting area including saline land areas. The use of soil microbes Rhizobium sp can help overcome this because Rhizobium sp can find symbiosis with soybean plants so that it allows the absorption of nitrogen nutrients for the growth of soybean plants. This study was aimed to determine and analyze the effect of saline soil on the effectiveness and infectivity of Rhizobium sp. inoculated to soybean plants on soil chemical and biological properties and plant growth. The study was conducted using a randomized block design consisting of 10 treatments and 3 replications. The results showed that the bacterial inoculation gave better plant growth than the control treatment on saline and non-saline soils. The high number of colonies was able to increase the number of effective root nodules and N-plant uptake and produced good plant growth with the best results. The inoculation treatment of isolate 12 on non-saline soil yielded N absorption value of 0.32 g plant-1, effective root nodules of 87.67 g plant-1, effective root nodule dry weight of 0.74 g plant-1, and plant height of 134.3 cm. On the biological properties of isolate 12 inoculation treatment on non-saline soil had the highest yield for the number of isolate colonies of 305.45 × 105 CFU mL-1.

scholarly journals Agricultural Output Supply and Input Demand Relationships with Endogenous Land Rents

1989 ◽  
Vol 21 (2) ◽  
pp. 13-20 ◽  
Author(s):  
Arlyn R. Maligaya ◽  
Fred C. White
Keyword(s):  
Duality Theory ◽  
Supply And Demand ◽  
Agricultural Output ◽  
Demand Functions ◽  
Endogenous Factor ◽  
Input Demand ◽  
Land Rents ◽  
Demand Equations ◽  
The Impact ◽  
Input Prices

AbstractThis study analyzed supply functions for agricultural output and demand functions for factors of production for Georgia. These relationships were derived with duality theory from a normalized quadratic profit function. Land has been included in other duality studies as a fixed factor as opposed to an endogenous factor. In this study, the system of supply and demand equations was augmented with a supply equation for land, which allowed land rents to be an endogenous factor. Consequently, it was possible to measure the impact of output and input prices on land rents.

scholarly journals Determinan Produksi Kedelai di Indonesia dan Implikasi Kebijakannya

2018 ◽  
pp. 679
Author(s):  
Bayu Kharisma
Keyword(s):  
Policy Implications ◽  
Soybean Seeds ◽  
Price Ratio ◽  
Food Crop ◽  
Soybean Production ◽  
Agriculture Sector ◽  
Special Programs ◽  
Crop Agriculture ◽  
The Government ◽  
Basic Price

This paper aims to determine the determinants of soybean production in Indonesia and its policy implications. Based on the estimation results, the determinants affecting soybean production in Indonesia during 1984-2013 period are: harvest area, productivity, number of labor in food crop agriculture sector, soybean import of previous year and price ratio of soybean with fertilizer price. The factors that have a significant influence on soybean production are the area of harvest, productivity, the ratio of soybean prices to fertilizer prices and the amount of labor in the food crops sector. Meanwhile, various policies that can be done by the government in order to increase soybean production in Indonesia include the provision of soybean seeds, subsidized production facilities and lending, protection policies and basic price and special programs for soybean development.

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